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Intelligent Systems And Machine Learning


Intelligent Systems And Machine Learning
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Building Intelligent Systems


Building Intelligent Systems
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Author : Geoff Hulten
language : en
Publisher: Apress
Release Date : 2018-03-06

Building Intelligent Systems written by Geoff Hulten and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Computers categories.


Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems



Artificial Intelligence


Artificial Intelligence
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Author : PARAG KULKARNI
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2015-02-26

Artificial Intelligence written by PARAG KULKARNI and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-26 with Computers categories.


There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples



Machine Learning And Iot For Intelligent Systems And Smart Applications


Machine Learning And Iot For Intelligent Systems And Smart Applications
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Author : Madhumathy P
language : en
Publisher: CRC Press
Release Date : 2021-11-17

Machine Learning And Iot For Intelligent Systems And Smart Applications written by Madhumathy P and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Computers categories.


The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.



Intelligent Systems In Big Data Semantic Web And Machine Learning


Intelligent Systems In Big Data Semantic Web And Machine Learning
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Author : Noreddine Gherabi
language : en
Publisher: Springer Nature
Release Date : 2021-05-28

Intelligent Systems In Big Data Semantic Web And Machine Learning written by Noreddine Gherabi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-28 with Computers categories.


This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.



Intelligent Systems And Machine Learning For Industry


Intelligent Systems And Machine Learning For Industry
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Author : P. R Anisha
language : en
Publisher: CRC Press
Release Date : 2022-12-21

Intelligent Systems And Machine Learning For Industry written by P. R Anisha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-21 with Computers categories.


The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: • Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. • Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. • Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. • Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. • Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. • Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.



Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing


Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing
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Author : Dr.Kamarajugadda Kishore Kumar
language : en
Publisher: Leilani Katie Publication
Release Date : 2025-05-17

Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing written by Dr.Kamarajugadda Kishore Kumar and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Computers categories.


Dr.Kamarajugadda Kishore Kumar, Professor & Dean Academics, Faculty of Science and Technology, ICFAI University, Raipur, Chhattisgarh, India. Dr.Movva Pavani, Professor, Department of Electronics and Communication Engineering, Nalla Malla Reddy Engineering College, Divya Nagar, Hyderabad, Telangana, India.



Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing


Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing
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Author : Dr.Sudhakar.K
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-11-26

Intelligent Systems Bridging Machine Learning Deep Learning And Natural Language Processing written by Dr.Sudhakar.K and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.


Dr.Sudhakar.K, Associate Professor & Head, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Dr.R.Vadivel, Associate Professor, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Ms.Sarumathi.S, Assistant Professor, Department of Computer Science and Engineering, HKBK College of Engineering, Bangalore, Karnataka, India. Dr.Manjunatha.S, Professor, Department of Computer Science and Engineering, BNM Institute of Technology, Bangalore, Karnataka, India.



Intelligent Systems


Intelligent Systems
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Author : Vladimir M. Koleshko
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-03-02

Intelligent Systems written by Vladimir M. Koleshko and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-02 with Computers categories.


This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.



Intelligent Systems Theory Research And Innovation In Applications


Intelligent Systems Theory Research And Innovation In Applications
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Author : Ricardo Jardim-Goncalves
language : en
Publisher: Springer Nature
Release Date : 2020-03-03

Intelligent Systems Theory Research And Innovation In Applications written by Ricardo Jardim-Goncalves and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Technology & Engineering categories.


From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.



Artificial Intelligence And Intelligence Systems


Artificial Intelligence And Intelligence Systems
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Author : Mr. Thumu Muni Balaji
language : en
Publisher: AG PUBLISHING HOUSE (AGPH Books)
Release Date : 2023-02-20

Artificial Intelligence And Intelligence Systems written by Mr. Thumu Muni Balaji and has been published by AG PUBLISHING HOUSE (AGPH Books) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Study Aids categories.


The goal of imbuing artificial intelligence into robots has been actively pursued throughout the course of the last several decades. As a direct consequence of the proliferation of modern technology, artificial intelligence (AI) has become a crucial component of day-to-day life. This change was brought about by a combination of factors. The book "Artificial Intelligence and Intelligent Systems" offers a thorough examination of the primary ideas and procedures associated with artificial intelligence. This book explores recent developments in artificial intelligence (AI) and their applications in a variety of different areas. In order to promote a more in-depth knowledge of artificial intelligence (AI), many types of intelligent systems, including expert systems, genetic algorithms, fuzzy systems, artificial neural networks, and swarm intelligent systems, are dissected in detail and shown with examples. The most recent advances in Al are used to solve real-world challenges, which are emphasized throughout the book. The term "artificial intelligence (AI) encompasses both the scientific research and the technological development that are required to produce intelligent devices, most notably intelligent computer programmes. The entire word is known as artificial intelligence, but its abbreviation is Al. When a piece of machinery has the ability to think for itself, we say that it demonstrates artificial intelligence. The level of intellect, speech, and vision possessed by humans serves as a benchmark for the development of artificial intelligence.